Nghia Trung Ngo

According to our database1, Nghia Trung Ngo authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction.
CoRR, 2022

Unsupervised Domain Adaptation for Joint Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Selecting Optimal Context Sentences for Event-Event Relation Extraction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Modeling Document-Level Context for Event Detection via Important Context Selection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Learning to Select Important Context Words for Event Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020


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